Welcome to R

Session 1

Luis F. Gómez L.

luis.gomezl@unimilitar.edu.co

Distance Learning Faculty

10 September, 2025

Please Read Me

This presentation is based on (Chapman & Feit, 2019, Chapter 1)

Purpose
- Deliver essential knowledge within a minimal timeframe by employing hands-on learning techniques to enhance productivity in the R programming language

Forgetting curves

Learning and forgetting curves (PBC, 2023)

Practicing and forgetting curves (PBC, 2023)

Figure 2: Practicing and forgetting curves

Installing R, RStudio IDE and Quarto

What are R and RStudio IDE? (Ismay et al., 2025, Chapter 1)

What is Quarto?
- Open-source scientific and technical publishing system
- It is possible to integrate prose, code and results via Rstudio IDE (Wickham et al., 2023, Chapter 29)

Download and install R: https://cloud.r-project.org/
- Download R for Linux (Debian, Fedora/Redhat, Ubuntu)
- Download R for macOS
- Download R for Windows
Download and install RStudio IDE: https://posit.co/download/rstudio-desktop/
- Windows 10/11
- macOS 11+
- Ubuntu 18/Debian 10, Ubuntu 20/Debian 11, Ubuntu 22, Fedora 19/Red Hat 7, OpenSUSE 15, Fedora 34/Red Hat 8, Fedora 36/Red Hat 9

Download and install Quarto: https://quarto.org/docs/get-started/
- Ubuntu 18+/Debian 10+, Linux Arm64
- Mac OS
- Windows
Nothing works help me!!!
- Don’t worry posit get you cover!!!
- Use posit Cloud: https://posit.cloud/
  - Sign Up > Cloud Free > Sign Up

Using R and Quarto via RStudio IDE (Ismay & Kim, 2020, Chapter 1)
- Don’t worry about Quarto because it will be embedded in RStudio IDE
  - If you are using posit Cloud don’t worry about anything!!!

R packages

What are R packages? (Ismay et al., 2025, Chapter 1)

Installing the tidyverse as an example
- Copy and paste this code in the console. If you have already installed the tidyverse nothing will happen but if you don’t have installed the tidyverse then the package is going to be installed
- Installing a package is like downloading an app from a store where you need to do it only once

packages <- c("tidyverse")
for (package in packages) {
  if (!(package %in% rownames(installed.packages()))) {
    install.packages(package)
  }
}

Loading a package
- Loading a package is like opening an app you already installed on your phone where you need to do it every time you want to use the app

library(tidyverse)

Please help me: Errors, warnings, and messages

Error: Generally when there’s an error, the code will not run and a message will try to explain what went wrong (Ismay et al., 2025, Chapter 1)

x <- c(1, 2, 3, 4, 5)
X

Error: object 'X' not found

Warning: Generally your code will still work, but with some caveats (Ismay et al., 2025, Chapter 1)

sqrt(-9)

Warning in sqrt(-9): NaNs produced

[1] NaN

Message: it’s just a friendly message (Ismay et al., 2025, Chapter 1)
- Read it, wave back at R, and thank it for talking to you (Ismay et al., 2025, Chapter 1)

packages<-c("tidyverse")
for(package in packages) {
  if(!(package %in% rownames(installed.packages()))) {
    install.packages(package)
  }
}
library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.2     ✔ tibble    3.3.0
✔ lubridate 1.9.4     ✔ tidyr     1.3.1
✔ purrr     1.1.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

R for Marketing Research and Analytics, 2nd Ed

Download from UMNG Springer Link database:
- https://doi-org.ezproxy.umng.edu.co/10.1007/978-3-030-14316-9
Check the book site:
- http://r-marketing.r-forge.r-project.org

Acknowledgments

To my family that supports me
To the taxpayers of Colombia and the UMNG students who pay my salary
To the Business Science and R4DS Online Learning communities where I learn R and \(\pi\)-thon
To the R Core Team, the creators of RStudio IDE, Quarto and the authors and maintainers of the packages tidyverse and tinytex for allowing me to access these tools without paying for a license

References

Chapman, C., & Feit, E. M. (2019). R For Marketing Research and Analytics (2nd ed. 2019). Springer International Publishing : Imprint: Springer. https://doi-org.ezproxy.umng.edu.co/10.1007/978-3-030-14316-9

Ismay, C., & Kim, A. Y.-S. (2020). Statistical inference via data science: A ModernDive into R and the tidyverse. CRC Press, Taylor & Francis Group. https://moderndive.com/index.html

Ismay, C., Kim, A. Y., & Valdivia, A. (2025). Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (2nd ed.). Chapman; Hall/CRC. https://moderndive.com/v2/

PBC, P. (2023). Learning Python for Data Science with Posit Academy - YouTube. https://www.youtube.com/live/IpUhSZPqTaE?feature=share&t=401

Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for data science: Import, tidy, transform, visualize, and model data (Second edition). O’Reilly. https://r4ds.hadley.nz/